Toponym Recognition in Scanned Color Topographic Maps

Joachim Pouderoux (1, 2) , Jean-Christophe Gonzato (1, 2) , Aurélien Pereira (1) , Pascal Guitton (1, 2)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 IPARLA - Visualization and manipulation of complex data on wireless mobile devices

Topographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to extract and recognize toponyms. We present a technique based on image segmentation and connected component processing. Different filtering stages ensure the consistency of plausible characters and strings. Detected text areas are used to feed an OCR software and the recognized words are analyzed and corrected. The main advantage of our technique is that no assumption is made about the character font, size or orientation. Experimental results obtained are encouraging in term of recognition efficiency.

Domaines: Autre [cs.OH]

Joachim Pouderoux, Jean-Christophe Gonzato, Aurélien Pereira, Pascal Guitton. Toponym Recognition in Scanned Color Topographic Maps. Proceedings of ICDAR 2007: 9th International Conference on Document Analysis and Recognition, Sep 2007, Brazil. pp.531--535. ⟨hal-00308009⟩